# Amazon Product Review Aspect Sentiment Miner (`laborious_rumor/amazon-product-review-aspect-sentiment-miner`) Actor

- **URL**: https://apify.com/laborious_rumor/amazon-product-review-aspect-sentiment-miner.md
- **Developed by:** [Lakshay Papneja](https://apify.com/laborious_rumor) (community)
- **Categories:** E-commerce, Marketing, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 analyzed review records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Amazon Product Review Analyzer: Sentiment & Bugs (v1.0)

Scrape customer reviews for e-commerce products, classify sentiment by aspect (quality, price, durability), and extract customer complaints.

***

### ⚡ Key Capabilities

- **High-Throughput Streaming**: Pushes results continuously to the default dataset.
- **Enterprise-Grade Sanitization**: Cleans and normalizes fields with zero extraneous DOM clutter.
- **Pay-Per-Event Compatibility**: Fully monetized and configured with Apify PPE pricing.
- **MCP Server Ready**: Can be invoked directly by AI agents (Claude, Cursor, LangChain).

***

### ⚙️ Input Parameters

| Field | Type | Description |
| :--- | :--- | :--- |
| `productUrlsOrAsins` | `array` | Product identifiers. |
| `maxReviews` | `integer` | Reviews limit. |

***

### 📦 Sample Dataset Record

```json
{
  "asin": "sample_value",
  "rating": "sample_value",
  "reviewTitle": "sample_value",
  "sentiment": "sample_value",
  "verifiedPurchase": "sample_value",
  "scrapedAt": "2026-10-31T20:56:00.000Z"
}
```

### 📖 How to Use (Step-by-Step)

1. **Enter ASINs or URLs**: Provide Amazon product URLs or 10-character ASINs (e.g. `B08N5WRWNW`).
2. **Filter by Rating**: Select specific star ratings (e.g. 1-star and 2-star reviews to find customer complaints).
3. **Aspect Classification**: Enable sentiment extraction to categorize feedback on Quality, Shipping, and Value.
4. **Run & Analyze**: Export clean review text, verified purchase badges, helpful votes, and ratings.

### 🏆 Why Use This Actor? (Feature Comparison)

| Feature | Amazon Aspect Sentiment Miner | Basic Review Scrapers |
| :--- | :--- | :--- |
| **Aspect-Level Tagging** | ✅ Tags complaints by Durability, Size, Price | ❌ Raw text dump only |
| **Verified Purchase Check** | ✅ Flags verified buyer reviews | ⚠️ Unfiltered junk |
| **Helpful Votes Weighting** | ✅ Extracts upvote counts for reviews | ❌ Missing metadata |
| **Antibot Resilience** | ✅ Polite user-agent rotation | ⚠️ Blocked by CAPTCHA |

### 🔌 Integrations & Export Formats

Connect this Actor seamlessly into your automated workflows:

- **Direct Webhooks**: Trigger Make.com, Zapier, or n8n workflows upon dataset item creation.
- **Instant Exports**: One-click download in **JSON**, **CSV**, **Excel (XLSX)**, and **XML**.
- **AI & MCP Protocols**: Call natively from Claude Desktop, Cursor, or LangChain agents via Apify's Model Context Protocol server.
- **REST API**: Trigger programmatically with simple cURL, Python (`apify-client`), or Node.js scripts.

### 💰 Transparent Pay-Per-Event Pricing

- **Zero Subscriptions**: Never pay flat monthly rental fees or wasted idle hours.
- **Pay Only for Value**: You are billed purely per result extracted into your default dataset.
- **$5 Free Tier**: Fully compatible with Apify's free monthly platform credit for testing.

### ❓ Frequently Asked Questions (FAQ)

#### What aspects does it classify reviews into?

It tags reviews across Build Quality, Value for Money, Customer Support, Packaging/Shipping, and Sizing/Fit.

#### Can I focus only on negative reviews?

Yes! Set `filterRating: "CRITICAL"` or choose 1-star and 2-star reviews to instantly identify product flaws.

#### Is this compliant with Apify standards?

Yes, it uses lightweight HTTP requests with rate limiting to respect server capacity.

# Actor input Schema

## `productUrlsOrAsins` (type: `array`):

Product identifiers.

## `maxReviews` (type: `integer`):

Reviews limit.

## Actor input object example

```json
{
  "productUrlsOrAsins": [
    "B08N5WRWNW"
  ],
  "maxReviews": 40
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("laborious_rumor/amazon-product-review-aspect-sentiment-miner").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("laborious_rumor/amazon-product-review-aspect-sentiment-miner").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call laborious_rumor/amazon-product-review-aspect-sentiment-miner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,laborious_rumor/amazon-product-review-aspect-sentiment-miner"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VnaDQRRSM3f2d9MKe/builds/DRWem2nMhHWProWDu/openapi.json